Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors
Multimedia sensors have recently become a significant data source in the Internet of Things (IoT), giving rise to the Internet of Media Things (IoMT). Since multimedia applications are usually latency-sensitive, data processing in the cloud is not always suitable. A strategy to minimize delay is pro...
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doaj-ac695c37f761443fb0ff8ecd69d8ed542021-04-22T23:00:32ZengIEEEIEEE Access2169-35362021-01-019592555926910.1109/ACCESS.2021.30732409404150Enabling Internet of Media Things With Edge-Based Virtual Multimedia SensorsAnselmo Luiz Eden Battisti0https://orcid.org/0000-0003-3916-2368Debora Christina Muchaluat-Saade1https://orcid.org/0000-0002-1233-9736Flavia C. Delicato2https://orcid.org/0000-0001-5334-8279MídiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói, BrazilMídiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói, BrazilMídiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói, BrazilMultimedia sensors have recently become a significant data source in the Internet of Things (IoT), giving rise to the Internet of Media Things (IoMT). Since multimedia applications are usually latency-sensitive, data processing in the cloud is not always suitable. A strategy to minimize delay is processing multimedia streams closer to data sources, exploiting resources at the network edge. Moreover, virtualization is widely used to reduce complexity arising from heterogeneity in IoT environments. In this paper, we propose an edge-based architecture and platform to manage virtual multimedia sensors (VMS), enabling IoMT applications to be easily deployed. Our proposal encompasses V-PRISM, a software architecture tailored for IoMT, and ALFA, a distributed implementation of the architecture. V-PRISM components were designed to be deployed and executed in multiple edge nodes. VMSs are in charge of processing multimedia streams and provide an abstraction layer between IoMT applications and physical devices that produce those streams. This paper describes the proposal and the results of experiments showing that the proposed approach can successfully perform multimedia stream processing for applications that requires low-latency.https://ieeexplore.ieee.org/document/9404150/Edge computingInternet of Media ThingsInternet of Thingsvirtual multimedia sensors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anselmo Luiz Eden Battisti Debora Christina Muchaluat-Saade Flavia C. Delicato |
spellingShingle |
Anselmo Luiz Eden Battisti Debora Christina Muchaluat-Saade Flavia C. Delicato Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors IEEE Access Edge computing Internet of Media Things Internet of Things virtual multimedia sensors |
author_facet |
Anselmo Luiz Eden Battisti Debora Christina Muchaluat-Saade Flavia C. Delicato |
author_sort |
Anselmo Luiz Eden Battisti |
title |
Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors |
title_short |
Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors |
title_full |
Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors |
title_fullStr |
Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors |
title_full_unstemmed |
Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors |
title_sort |
enabling internet of media things with edge-based virtual multimedia sensors |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Multimedia sensors have recently become a significant data source in the Internet of Things (IoT), giving rise to the Internet of Media Things (IoMT). Since multimedia applications are usually latency-sensitive, data processing in the cloud is not always suitable. A strategy to minimize delay is processing multimedia streams closer to data sources, exploiting resources at the network edge. Moreover, virtualization is widely used to reduce complexity arising from heterogeneity in IoT environments. In this paper, we propose an edge-based architecture and platform to manage virtual multimedia sensors (VMS), enabling IoMT applications to be easily deployed. Our proposal encompasses V-PRISM, a software architecture tailored for IoMT, and ALFA, a distributed implementation of the architecture. V-PRISM components were designed to be deployed and executed in multiple edge nodes. VMSs are in charge of processing multimedia streams and provide an abstraction layer between IoMT applications and physical devices that produce those streams. This paper describes the proposal and the results of experiments showing that the proposed approach can successfully perform multimedia stream processing for applications that requires low-latency. |
topic |
Edge computing Internet of Media Things Internet of Things virtual multimedia sensors |
url |
https://ieeexplore.ieee.org/document/9404150/ |
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